Trends

Trending in Taiwan
on Feb 18, 2025

The most searched Wikipedia pages in Taiwan: discover what people are looking for!

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  1. ZH
    Darren Wang
    new
  2. ZH
    Michelle Chen
    new
  3. ZH
    The First Frost
    + 77%
  4. ZH
    I Am Married... But!
    + 10%
  5. ZH
    Robert Tsao
    - 33%
  6. ZH
    Chen Xiao
    new
  7. ZH
    Kim Sae-ron
    - 257%
  8. ZH
    Wackyboys
    + 58%
  9. ZH
    Chen Xiao
    new
  10. ZH
    Nintendo Phuten
    new
  11. ZH
    Friendly Rivalry
    - 20%
  12. ZH
    Jasper Liu
    + 16%
  13. ZH
    Solo Leveling
    - 14%
  14. ZH
    Zhang Ruonan
    new
  15. ZH
    Bai Jingting
    new
  16. ZH
    Melo Movie
    - 25%
  17. ZH
    Ko Chia-yen
    + 18%
  18. ZH
    list of highest-grossing films
    stable
  19. ZH
    Ne Zha 2
    - 5%
  20. ZH
    Tseng Jing-hua
    + 10%
  21. ZH
    Lee Joon-hyuk
    new
  22. ZH
    Liu Yen-li
    new
  23. ZH
    Love Scout
    + 4%
  24. ZH
    The Witch
    - 35%
  25. ZH
    The Trauma Code: Heroes on Call
    - 10%
  26. ZH
    Won Bin
    - 49%
  27. ZH
    Ko Wen-je
    - 196%
  28. COMMONS
    Wiki Loves Folklore 2025
    stable
  29. ZH
    Guardians of the Dafeng
    - 5%
  30. ZH
    国色芳华
    - 7%
  31. ZH
    Nezha
    + 2%
  32. ZH
    Hidden Love
    new
  33. ZH
    Pipi Yao
    + 11%
  34. ZH
    Barbie Hsu
    - 22%
  35. ZH
    The Legend of Mi Yue
    new
  36. ZH
    Hsu Chiao-hsin
    new
  37. ZH
    Chu Yu-ning
    new
  38. ZH
    Park Bo-young
    - 9%
  39. ZH
    My Dearest Nemesis
    new
  40. ZH
    Study Group
    - 13%
  41. ZH
    Fanfan Chiao
    - 59%
  42. ZH
    Fu Meng-Po
    + 6%
  43. ZH
    Ju Ji-hoon
    - 6%
  44. ZH
    The Man from Nowhere
    - 229%
  45. ZH
    Seventeen
    stable
  46. ZH
    Nanka Chiisakute Kawaii Yatsu
    - 23%
  47. ZH
    The Gorge
    stable
  48. ZH
    Ne Zha
    + 3%
  49. ZH
    Wu Yuheng
    new
  50. ZH
    Unmasked
    + 7%
Those data refers to the most visited pages on Wikipedia from Taiwan on Feb 18, 2025.
The green, red and yellow indicators on each row are based on data from the day before: to get insights about the historical records, click here.
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